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Tuesday, 1 July 2025
AI & Robotics

VC reflects on robotics trade show season

VC reflects on robotics trade show season

In its successor, Detroit was the fourth largest city in the United States, producing 75% of the country’s automobiles. Today, its rank is 27, which claims one of the lowest per capita income in the country and produces less than 20% of our cars.

Last month, as I went to the hall Automated With robot arms at the trade show booth, shaking and compressing their loud motors, I left with the spirit that the motor city could experience an urban renaissance A3Or association to pursue automation.

“Our data over a period of 30 years tells us that robots are helping to save and create jobs,” A3 president Jeff Bernstein said, when asked about the impact of robots on jobs. “When the sales of the robot increase, employment also increases, and vice versa. The actual risk for jobs is when companies cannot compete, as we look from empty factories that are visible here in date.”

He said, “The progress in technology means that jobs will be different. But it has always been the case: 30 years ago, there was no such thing as a digital marketing manager or search engine optimization specialist.” “Robot companies are tools to improve productivity, increase quality, increase speed time in market and eventually win more businesses and help more people to work. Future jobs will be better, safe and high payment.”

Automatic has grown. What started as a dog’s leg Promate It now has its own annual show. The A3 program has already defeated Huntington Place Convention Center in Detroit, with more than 45,000 attendees crowded in space. Note that the automatic will return to Chicago at McCormic Place in 2026.



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Cambrian exploses interest

This year, not a single corner of the trade show floor was open on a large scale. For four days, robots ruled the city, every manufacturer made a pilgrimage to watch the latest technology, which can carry forward its domestic workflow in the midst of a trade war.

I saw this before working at the booth of the portfolio company, Cambrian roboticsAI-Infused, with a stable stream of motor vehicle engineers arriving on tour buses to catch a glimpse of 3D computer Vision technology.

Using a wide range of OEM robots weapons, cambrians of the workflow application attract attention from potential users. Automotive The authorities saw the speed and ease of robot brake assembly, metal-hinged, and picking and transparent objects.

The biggest draw, possibly crossing Agile robotics‘Humanoids, Cambrian had two-hand Ur Wire harness and insertion demo (see below). This example shows the current capabilities of large language model (LLM) in the field of robotics.

This simulation feasibility studies trains robots in even more scenarios, as they will face in the real world, thus able to promote, mission-driven systems that fulfill the work that completes the work, even if the herfer is regardless of the accident. This new wave of AI-operated products was not limited to Cambrian or other computer vision offerings and was a common theme of this year’s show.

https://www.youtube.com/watch?v=- wiu_xanvsy

Startups proceed with AI

I have just judged almost consistently automated startup competition since the setting of the show. This year can be the most influential group StartupsRobotic lumni -supported by Daniel Theobald.

Kohrurt consisted of many companies that were using basic use Aye Model to push the envelopes of robotics. There were two standouts Kisisi (Winner) and Nexus intellect (My runner up).

Kinisi has developed a wheel, two-skill robots with a small head appendage that rests and down. Nine months ago, founder Brainand Pierce posted on LinkedIn about its latest product, which uses Openai to learn new behavior.

He said, “The major tech -off from the video is that all robot behavior is generated by LLM,” he said. “It only knows a few basic functions: Open/Close Gripper, Move ARM, and process input vision pipeline. Of these, it can explain my voice command and mix them in more complex tasks. In this example, it recognizes me and passs a ‘cold drink’ by recognizing me.”

Nexus, a qualified respectable mention, developed a common AI platform to connect industrial automation control systems, such as program -worthy logic controllers (Natural), For co-pilot programming platforms, which increases integration.

I am associated with the view of Rodney Brooks on LLMS expressed last year Tekkachchan: “People say,” Oh, big language models are robots that are capable of doing things they could not do. ” This is not the place where there is a problem.

He said, “It is not useful to tell a personal robot out of the warehouse to go out and get one thing for an order, but it may be useful for people for big care in homes that people are able to say things to the robot,” he said.

https://www.youtube.com/watch?v=DVBIBILBSJ30

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